Corrosion of rebars continues to be a major concern for the durability of steel reinforced concrete structures. To minimize the risk involved with rebar corrosion in this study two electrochemical remedial strategies, i.e., electrical injection of corrosion inhibitors (EICI) and electrochemical removal of chlorides (ERC), are investigated in this study using an integrated analytical and experimental approach. A mathematical model in the form of a multiphysics, non-linear differential equation was established for evaluating the efficacy and efficiency of a parallel EICI and ERC scheme, aided by three accelerated electrochemical experiments developed for parametric determination and for model validation. Based on the method of three-dimensional microstructure reconstruction, a finite element analysis was applied to solve the mathematical model that couples three key mechanisms of mass transport in the matrix of heterogeneous concrete, including natural diffusion, hydraulic migration and electromigration. The validated mathematical model indicates an optimum current density of 3 A/m² for implementation. Being able to predict the concentrations of multiple chemical species at arbitrary times and locations in heterogeneous concrete, the developed mathematical model demonstrates to be a powerful tool for evaluating general chemical-deterioration problems and remedial strategies for concrete structures.

钢筋的腐蚀仍然是钢筋混凝土结构耐久性的主要问题。为了使本研究中与钢筋腐蚀有关的风险降至最低，本研究采用集成的分析和实验方法研究了两种电化学修复策略，即电注入缓蚀剂（EICI）和电化学去除氯化物（ERC）。建立了以多物理场非线性微分方程形式的数学模型，以评估并行EICI和ERC方案的功效和效率，并借助为参数确定和模型验证开发的三个加速电化学实验进行了评估。基于三维显微组织重建的方法，应用有限元分析来求解数学模型，该模型耦合了非均质混凝土基质中传质的三个关键机理，包括自然扩散，水力迁移和电迁移。经过验证的数学模型表明最佳电流密度为3 A / m²实施。能够预测异质混凝土中任意时间和位置的多种化学物质的浓度，开发的数学模型证明是评估一般化学劣化问题和混凝土结构补救策略的有力工具。